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Bivariate Data Analysis Worksheet

This worksheet focuses on understanding and analyzing bivariate data, including scatter plots, correlation, and lines of best fit.

Grade 9 Math Probability and StatisticsBivariate Data
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Includes

Multiple ChoiceFill in the BlanksShort AnswerCustomTrue / FalseMatchingLong Answer

Standards

CCSS.MATH.CONTENT.HSS.ID.B.5CCSS.MATH.CONTENT.HSS.ID.B.6CCSS.MATH.CONTENT.HSS.ID.C.7

Topics

MathGrade 9Bivariate DataStatisticsScatter PlotsCorrelation
9 sections · Free to use · Printable
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Bivariate Data Analysis

Name:

Date:

Score:

Read each question carefully and answer to the best of your ability. Show all your work when necessary.

1. Which of the following describes bivariate data?

a

Data with a single variable.

b

Data involving two variables.

c

Data with more than two variables.

d

Data that is always categorical.

2. What type of graph is typically used to display bivariate data?

a

Bar graph

b

Histogram

c

Scatter plot

d

Pie chart

1. When two variables tend to move in the same direction, they have a   correlation.

2. A line of   is used to model the relationship between two variables in a scatter plot.

3. The variable that is being predicted or explained is called the   variable.

1. Describe the difference between positive and negative correlation, providing an example for each.

The scatter plot below shows the relationship between the number of hours studied and the test scores of 10 students.

Hours Studied Test Score 0 20 40 60 80 100 0 1 2 3 4 5 6 7 8 9 10

1. Based on the scatter plot, what type of correlation exists between hours studied and test scores?

2. If a student studied for 7 hours, what would you predict their test score to be based on the general trend?

1. A strong correlation always implies causation.

T

True

F

False

2. Outliers can significantly affect the slope of the line of best fit.

T

True

F

False

Match the term on the left with its definition on the right.

1. Correlation Coefficient

 

a. A value that describes the strength and direction of a linear relationship between two variables.

2. Independent Variable

 

b. The variable that is manipulated or changed in an experiment.

3. Dependent Variable

 

c. The variable that is measured or observed and is affected by the independent variable.

1. Explain how to determine if a line of best fit is a good model for a given set of bivariate data.

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